NumPy: array processing for numbers, strings, records and objects

Edit Package python-numpy

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.

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Source Files
Filename Size Changed
0001-BUG-Fix-test_impossible_feature_enable-failing-witho.patch 0000002619 2.56 KB
0001-feature-module-Fix-handling-of-multiple-conflicts-pe.patch 0000002244 2.19 KB
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
numpy-2.0.0rc1.tar.gz 0018314779 17.5 MB
numpy-buildfix.patch 0000001025 1 KB
python-numpy-rpmlintrc 0000000614 614 Bytes
python-numpy.changes 0000154239 151 KB
python-numpy.spec 0000014237 13.9 KB
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